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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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About me

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** Published:**

This Blog post briefly introduces some concepts in set theory and measure theory that are needed to define probability. It also talks about measurable transformations and random variables.

** Published:**

I’ve found very few notes on the internet which talks about geometric intuition about matrices and linear algebra and wanted to write about if I ever found any good material. This blogpost talks about linear transformation, geometric intuitions of matrices, change of basis, eigen decomposition and singular value decomposition.

** Published:**

This blogpost talks about modelling the distribution of images, the challenges in modelling and training etc. Let’s try to fit a model to a set of images, just like we tried to fit GMM to a set of points. If you are not familiar with latent variable models and GMM you can refer to my previous post here

** Published:**

This blog post talks about Bayesian view of statistics and the need for variatinal inference and a simple Mean Field approximation method

** Published:**

This blog post talks about latent variables, why we need them and how to train latent variable models.